📄 Text Mining

Document Analysis, Pattern Discovery, Information Extraction, Natural Language Processing

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Natural language processing for word sense disambiguation and information extraction
arxiv.org·15h·
Discuss: r/compsci
📥Feed Aggregation
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Top 5 best WordPress SEO tools in 2026
dev.to·9h·
Discuss: DEV
📊Feed Optimization
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TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.io·9h
📝Parsing Grammars
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
🧠Machine Learning
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Self-Supervised Temporal Pattern Mining for circular manufacturing supply chains with embodied agent feedback loops
dev.to·2h·
Discuss: DEV
🌊Stream Processing
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The 2025 Guide to Machine Learning
ibm.com·1d·
Discuss: Hacker News
🧠Machine Learning
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CoSeNet: A Novel Approach for Optimal Segmentation of Correlation Matrices
arxiv.org·2d
🧠Machine Learning
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Kibana: Visualizing Your Data Story
dev.to·11h·
Discuss: DEV
🏺ZIP Archaeology
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A framework for technical writing in the age of LLMs
thedataquarry.com·3d·
Discuss: Hacker News
🎯Content Recommendation
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Document Parsing with LLMs: From OCR to Structural Understanding.
alamedadev.com·3d
📋Document Grammar
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Data Analytics Course in Telugu: A Complete Guide for Students and Working Professionals
dev.to·1d·
Discuss: DEV
🗃️Database Forensics
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Cut-Copy-Paste Constructionism: Teaching Encoding and Text Mining with Erasure Poetics | Cut-Copy-Paste Constructionism: Teaching Encoding and Text Mining with Erasure Poetics
cuny.manifoldapp.org·4d
🏛Digital humanities
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aashirpersonal/semantic-coverage: Automated detection of knowledge gaps and blind spots in RAG vector stores.
github.com·3d·
Discuss: Hacker News
🌀Brotli Internals
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I built a production-ready document parser for RAG apps that actually handles complex tables (full tutorial + code)
dev.to·1d·
Discuss: DEV
📋Document Grammar
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SMART SLM: Structured Memory and Reasoning Transformer, A Small Language Model for Accurate Document Assistance
arxiv.org·2d
📋Document Grammar
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Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies: This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases.
github.com·4d
🧭Content Discovery
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Signal, Noise, and Burnout: A Human-Information Interaction Analysis of Voter Verification in a High-Volatility Environment
arxiv.org·2d
🧭Content Discovery
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Top AI Models for Scientific Research and Writing in 2026
future.forem.com·4d·
Discuss: DEV
🔬Academic Search
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From Queries to Insights: Search Driven Natural Language Analytics Explained
dev.to·3d·
Discuss: DEV
🔍Information Retrieval
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(Part 2) I built a log processing engine using Markov Chains, the Drain3 log parser and the idea of DNA sequencing.
reddit.com·5d·
Discuss: r/selfhosted
📝Log Parsing
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